Iterative learning control for nonlinearly parameterized systems with unknown control direction

被引：0

作者：

Yan Qiuzhen ^{[1
]}

Wang Hongfa ^{[1
]}

Yu Feng ^{[1
]}

机构：

[1] Zhejiang Water Conservancy & Hydropower Coll, Dept Comp Sci & Informat Engn, Hangzhou 310018, Peoples R China

来源：

PIAGENG 2013: INTELLIGENT INFORMATION, CONTROL, AND COMMUNICATION TECHNOLOGY FOR AGRICULTURAL ENGINEERING | 2013年 / 8762卷

关键词：

iterative learning control; nonlinearly parameterized systems; control direction; A-PRIORI KNOWLEDGE; DESIGN;

D O I：

10.1117/12.2019679

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

An iterative learning controller is presented for nonlinearly parameterized uncertain systems with unknown control direction. By using the parameter separation technique and the signal replacement mechanism, the system equation is reconstructed. By using the Nussbaum function, the proposed control laws can guarantee that all the signals in the closed-loop are bounded and the tracking error converges to zero over the entire interval. The numerical simulation is carried out to demonstrate effectiveness of the presented learning schemes.

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页数：7

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